Browsing by Author "Nourian, Pirouz"

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Citation - WoS: 15
Citation - Scopus: 22
A discrete event simulation procedure for validating programs of requirements: The case of hospital space planning
(ELSEVIER, 2020) Cemre Cubukcuoglu; Pirouz Nourian; I. Sevil Sariyildiz; M. Fatih Tasgetiren; Nourian, Pirouz; Tasgetiren, M. Fatih; Sariyildiz, I. Sevil; Cubukcuoglu, Cemre
This paper introduces a Discrete-Event Simulation (DES) tool developed as a parametric CAD program for validating a program of requirements (PoR) for hospital space planning. The DES model simulates the procedures of processing of patients treated by doctors calculating patient throughput and patient waiting times based on the number of doctors patient arrivals and treatment times. In addition the tool is capable of defining space requirements by taking hospital design standards into account. Using this tool what-if scenarios and assumptions on the PoR about space planning can be tested and/or validated. The tool is ultimately meant for reducing patient waiting times and/or increasing patient throughput by checking the match of the layout of a hospital with respect to its procedural operations. This tool is envisaged to grow into a toolkit providing a methodological framework for bringing Operations Research into Architectural Space Planning. The tool is implemented in Python for Grasshopper (GH) a plugin of Rhinoceros CAD software using the SimPy library. (C) 2020 The Authors. Published by Elsevier B.V.
Citation - WoS: 29
Citation - Scopus: 38
Hospital layout design renovation as a Quadratic Assignment Problem with geodesic distances
(ELSEVIER, 2021) Cemre Cubukcuoglu; Pirouz Nourian; M. Fatih Tasgetiren; I. Sevil Sariyildiz; Shervin Azadi; Nourian, Pirouz; Azadi, Shervin; Tasgetiren, M. Fatih; Sariyildiz, I. Sevil; Cubukcuoglu, Cemre
Hospital facilities are known as functionally complex buildings. There are usually configurational problems that lead to inefficient transportation processes for patients medical staff and/or logistics of materials. The Quadratic Assignment Problem (QAP) is a well-known problem in the field of Operations Research from the category of the facility's location/allocation problems. However it has rarely been utilized in architectural design practice. This paper presents a formulation of such logistics issues as a QAP for space planning processes aimed at renovation of existing hospitals a heuristic QAP solver developed in a CAD environment and its implementation as a computational design tool designed to be used by architects. The tool is implemented in C# for Grasshopper (GH) a plugin of Rhinoceros CAD software. This tool minimizes the internal transportation processes between interrelated facilities where each facility is assigned to a location in an existing building. In our model the problem of assignment is relaxed in that a single facility may be allowed to be allocated within multiple voxel locations thus alleviating the complexity of the unequal area assignment problem. The QAP formulation takes into account both the flows between facilities and distances between locations. The distance matrix is obtained from the spatial network of the building by using graph traversal techniques. The developed tool also calculates spatial geodesic distances (walkable easiest and/or shortest paths for pedestrians) inside the building. The QAP is solved by a heuristic optimization algorithm called Iterated Local Search. Using one exemplary real test case we demonstrate the potential of this method in the context of hospital layout design/re-design tasks in 3D. Finally we discuss the results and possible further developments concerning a generic computational space planning framework.
Citation - WoS: 12
Citation - Scopus: 19
Optimal Design of new Hospitals: A Computational Workflow for Stacking- Zoning- and Routing
(ELSEVIER, 2022) Cemre Cubukcuoglu; Pirouz Nourian; I. Sevil Sariyildiz; M. Fatih Tasgetiren; Nourian, Pirouz; Tasgetiren, M. Fatih; Sariyildiz, I. Sevil; Cubukcuoglu, Cemre
The paper proposes a generative design workflow for three major hospital layout planning steps to satisfy multiplex configurational requirements. The initial step is stacking through clustering functional spaces into floor plans for which a spectral method is presented. Subsequently a novel simultaneous process of zoning and routing is proposed as a Mixed-Integer Programming problem-solving task, performed on a quadrilateral mesh whose faces and edges are allocated respectively to the rooms and the corridors. The paper situates the workflow in the context of an Activity-Relations-Chart for a general hospital while demonstrating explaining and justifying the generated optimal floor plans. The conversion of the hospital layout problem to a Mixed-Integer Programming problem enables the use of existing Operations Research solvers allowing for the generation of optimal solutions in a digital design environment. The comprehensive problem formulation for a real-world scenario opens a new avenue for utilization of mathematical programming/optimization in healthcare design.